Modeling and Multivariate Methods - SAS

Chapter 17 Correlations and Multivariate Techniques 443
Launch the Multivariate Platform
Launch the Multivariate Platform
Launch the Multivariate platform by selecting Analyze > Multivariate Methods > Multivariate.
Figure 17.1 The Multivariate Launch Window
Table 17.1 Description of the Multivariate Launch Window
Y, Columns Defines one or more response columns.
Weight
Freq
By
Estimation Method
(Optional) Identifies one column whose numeric values assign a weight to each
row in the analysis.
(Optional) Identifies one column whose numeric values assign a frequency to
each row in the analysis.
(Optional) Performs a separate matched pairs analysis for each level of the By
variable.
Select from one of several estimation methods for the correlations. With the
Default option, Row-wise is used for data tables with no missing values. Pairwise
is used for data tables that have more than 10 columns or more than 5000 rows,
and that have no missing values. Otherwise, the default estimation method is
REML. For details, see “Estimation Methods” on page 443.
Estimation Methods
Several estimation methods for the correlations options are available to provide flexibility and to
accommodate personal preferences. REML and Pairwise are the methods used most frequently. You can also
estimate missing values by using the estimated covariance matrix, and then using the Impute Missing Data
command. See “Impute Missing Data” on page 453.